Google Unveils Doppl: Try Clothes Virtually with AI
Google is rolling out Doppl, an experimental application that lets users “try on” clothes using artificial intelligence. This innovative app allows you to digitally preview how various garments will appear on your own body, revolutionizing how we shop and style ourselves.
How Doppl Works
The Doppl app utilizes AI to generate a digital model of the user’s physique. Then, users can upload images of clothing items to see how they would look. This technology allows individuals to visualize attire directly on their virtual selves.
To get started, users will first upload full-body photos to create a digital avatar. After this, consumers can upload images or screenshots of any clothing to simulate a real-world try-on experience. The application can also create AI-generated videos.
“As an experiment from Google Labs, Doppl is still in the early stages and may not always be accurate. The appearance, size, and details of clothes may not be in accordance with reality,” Google said.
—Google Spokesperson
The app also offers useful features such as saving preferred looks and reviewing prior virtual try-ons. This allows users to easily compare different styles and also share their digital outfits with family and friends.
Current Availability
Doppl is currently available to users in the United States on both iOS and Android devices. While the technology promises a more personalized experience, there is no definite date for a global release.
According to a 2024 report, the online clothing market is booming, with sales expected to reach over $770 billion by 2025 (Statista). This underscores the potential of virtual try-on technology.
Doppl’s Place
Doppl is an expansion of Google Shopping’s existing virtual clothing try-on capabilities. But unlike previous features that present clothing on various body types, Doppl lets users experience outfits on their own digital representation, creating a more immersive experience.
The application is still experimental and may not have perfect results. However, this application represents a step toward a more realistic and personalized online shopping experience.
